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<title>RNA-velocity for SuperCell</title>

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<h1 class="title toc-ignore">RNA-velocity for SuperCell</h1>



<div id="rna-velocity-combining-with-metacells-computed-with-supercell" class="section level2">
<h2>RNA velocity combining with metacells computed with SuperCell</h2>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="cf">if</span> (<span class="sc">!</span><span class="fu">requireNamespace</span>(<span class="st">&quot;remotes&quot;</span>)) <span class="fu">install.packages</span>(<span class="st">&quot;remotes&quot;</span>)</span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>remotes<span class="sc">::</span><span class="fu">install_github</span>(<span class="st">&quot;GfellerLab/SuperCell&quot;</span>)</span></code></pre></div>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(SuperCell)</span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(velocyto.R)</span></code></pre></div>
<p>We show an example of how SuperCell can be used prior to velocyto.R to compute RNA velocity.</p>
<div id="load-data-and-compute-metacells-spliced-and-un-spliced-counts" class="section level3">
<h3>Load data and compute metacells’ spliced and un-spliced counts</h3>
<p>We use a built-in <em>pancreas</em> dataset from <a href="https://journals.biologists.com/dev/article/146/12/dev173849/19483/Comprehensive-single-cell-mRNA-profiling-reveals-a">Bastidas-Ponce et al. (2019)</a> For RNA velocity, we need spliced and un-spliced count matrices.</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="fu">data</span>(<span class="st">&quot;pancreas&quot;</span>)</span></code></pre></div>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>SC_pancreas <span class="ot">&lt;-</span> <span class="fu">SCimplify_for_velocity</span>(</span>
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a>  pancreas<span class="sc">$</span>emat, </span>
<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a>  pancreas<span class="sc">$</span>nmat, </span>
<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a>  <span class="at">gamma =</span> <span class="dv">10</span>)</span></code></pre></div>
</div>
<div id="compute-rna-velocity" class="section level3">
<h3>Compute RNA velocity</h3>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>Vel <span class="ot">&lt;-</span> <span class="fu">supercell_estimate_velocity</span>(SC_pancreas<span class="sc">$</span>emat, SC_pancreas<span class="sc">$</span>nmat)</span>
<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Warning in supercell_estimate_velocity(SC_pancreas$emat, SC_pancreas$nmat): supercell_size was replaced with 1</span></span>
<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; calculating cell knn ... done</span></span>
<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; calculating convolved matrices ... done</span></span>
<span id="cb5-5"><a href="#cb5-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; fitting gamma coefficients ... done. succesfful fit for 1456 genes</span></span>
<span id="cb5-6"><a href="#cb5-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; filtered out 218 out of 1456 genes due to low nmat-emat correlation</span></span>
<span id="cb5-7"><a href="#cb5-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; filtered out 265 out of 1238 genes due to low nmat-emat slope</span></span>
<span id="cb5-8"><a href="#cb5-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; calculating RNA velocity shift ... done</span></span>
<span id="cb5-9"><a href="#cb5-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; calculating extrapolated cell state ... done</span></span></code></pre></div>
</div>
<div id="plot-rna-velocity-on-a-tsnes-coordinates" class="section level3">
<h3>Plot RNA velocity on a tSNE’s coordinates</h3>
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Assign clusters to metacells based on the given single clustering</span></span>
<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a>clusters <span class="ot">&lt;-</span> <span class="fu">supercell_assign</span>(pancreas<span class="sc">$</span>meta<span class="sc">$</span>clusters, SC_pancreas<span class="sc">$</span>membership)</span></code></pre></div>
<div id="set-up-the-color-scheme" class="section level4">
<h4>Set up the color scheme</h4>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Set up the color scheme</span></span>
<span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a>N.clusters <span class="ot">&lt;-</span> <span class="fu">length</span>(<span class="fu">unique</span>(clusters))</span>
<span id="cb7-3"><a href="#cb7-3" aria-hidden="true" tabindex="-1"></a>pal <span class="ot">&lt;-</span> <span class="fu">setNames</span>(<span class="fu">colorRampPalette</span>(RColorBrewer<span class="sc">::</span><span class="fu">brewer.pal</span>(<span class="dv">8</span>, <span class="at">name=</span> <span class="st">&quot;Set1&quot;</span>))(N.clusters), </span>
<span id="cb7-4"><a href="#cb7-4" aria-hidden="true" tabindex="-1"></a>                <span class="fu">as.character</span>(<span class="fu">unique</span>(clusters))) </span>
<span id="cb7-5"><a href="#cb7-5" aria-hidden="true" tabindex="-1"></a>color <span class="ot">&lt;-</span> <span class="fu">setNames</span>(pal[<span class="fu">as.character</span>(clusters)], <span class="fu">names</span>(clusters))</span>
<span id="cb7-6"><a href="#cb7-6" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb7-7"><a href="#cb7-7" aria-hidden="true" tabindex="-1"></a>map_cluster_to_cluster_name <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&#39;Ngn3 low EP&#39;</span>, <span class="st">&#39;Alpha&#39;</span>, <span class="st">&#39;Delta&#39;</span>, <span class="st">&#39;Beta&#39;</span>, <span class="st">&#39;Pre-endocrine&#39;</span>, <span class="st">&#39;Ngn3 high EP&#39;</span>, <span class="st">&#39;Ductal&#39;</span>, <span class="st">&#39;Epsilon&#39;</span>)</span></code></pre></div>
</div>
<div id="plot-tsne" class="section level4">
<h4>Plot tSNE</h4>
<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a>size <span class="ot">&lt;-</span> <span class="fu">sqrt</span>(<span class="dv">1</span><span class="sc">+</span><span class="fu">table</span>(SC_pancreas<span class="sc">$</span>membership))<span class="sc">/</span><span class="fu">sqrt</span>(<span class="dv">2</span>)<span class="sc">/</span><span class="dv">2</span></span>
<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a><span class="fu">set.seed</span>(<span class="dv">3</span>)</span>
<span id="cb8-3"><a href="#cb8-3" aria-hidden="true" tabindex="-1"></a>tsne10 <span class="ot">&lt;-</span> <span class="fu">tSNE.velocity.plot</span>(Vel, </span>
<span id="cb8-4"><a href="#cb8-4" aria-hidden="true" tabindex="-1"></a>                             <span class="at">cell.colors =</span> <span class="fu">ac</span>(color, <span class="at">alpha =</span> <span class="fl">0.6</span>), </span>
<span id="cb8-5"><a href="#cb8-5" aria-hidden="true" tabindex="-1"></a>                             <span class="at">scale =</span> <span class="st">&quot;log&quot;</span>, <span class="at">do.par =</span> T,</span>
<span id="cb8-6"><a href="#cb8-6" aria-hidden="true" tabindex="-1"></a>                             <span class="at">delta.norm =</span> <span class="cn">FALSE</span>, <span class="at">nPcs =</span> <span class="dv">15</span>, <span class="at">norm.nPcs =</span> <span class="dv">15</span> <span class="sc">*</span> <span class="dv">10</span>, <span class="at">perplexity =</span> <span class="dv">50</span>,</span>
<span id="cb8-7"><a href="#cb8-7" aria-hidden="true" tabindex="-1"></a>                             <span class="at">show.grid.flow =</span> <span class="cn">FALSE</span>, <span class="at">grid.n =</span> <span class="dv">20</span>, <span class="at">grid.sd =</span> <span class="cn">NULL</span>, <span class="at">min.grid.cell.mass =</span> <span class="dv">1</span>,</span>
<span id="cb8-8"><a href="#cb8-8" aria-hidden="true" tabindex="-1"></a>                             <span class="at">pcount =</span> <span class="dv">1</span>, <span class="at">verbose =</span> <span class="cn">TRUE</span>, <span class="at">min.arrow.median.ratio =</span> <span class="dv">1</span><span class="sc">/</span><span class="dv">10</span>,</span>
<span id="cb8-9"><a href="#cb8-9" aria-hidden="true" tabindex="-1"></a>                             <span class="at">max.arrow.quantile =</span> <span class="fl">0.9</span>, <span class="at">arrow.scale =</span> <span class="dv">1</span>, <span class="at">arrow.lwd =</span> <span class="dv">1</span>,</span>
<span id="cb8-10"><a href="#cb8-10" aria-hidden="true" tabindex="-1"></a>                             <span class="at">xlab =</span> <span class="st">&quot;tSNE-x&quot;</span>, <span class="at">ylab =</span> <span class="st">&quot;tSNE-y&quot;</span>, <span class="at">size.norm =</span> <span class="cn">FALSE</span>, <span class="at">cex =</span> size</span>
<span id="cb8-11"><a href="#cb8-11" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb8-12"><a href="#cb8-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; log ... pca ... tSNE ...Performing PCA</span></span>
<span id="cb8-13"><a href="#cb8-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Read the 740 x 15 data matrix successfully!</span></span>
<span id="cb8-14"><a href="#cb8-14" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Using no_dims = 2, perplexity = 50.000000, and theta = 0.500000</span></span>
<span id="cb8-15"><a href="#cb8-15" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Computing input similarities...</span></span>
<span id="cb8-16"><a href="#cb8-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Building tree...</span></span>
<span id="cb8-17"><a href="#cb8-17" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Done in 0.11 seconds (sparsity = 0.247999)!</span></span>
<span id="cb8-18"><a href="#cb8-18" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Learning embedding...</span></span>
<span id="cb8-19"><a href="#cb8-19" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 50: error is 53.858577 (50 iterations in 0.13 seconds)</span></span>
<span id="cb8-20"><a href="#cb8-20" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 100: error is 50.651822 (50 iterations in 0.11 seconds)</span></span>
<span id="cb8-21"><a href="#cb8-21" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 150: error is 50.288285 (50 iterations in 0.11 seconds)</span></span>
<span id="cb8-22"><a href="#cb8-22" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 200: error is 50.193830 (50 iterations in 0.11 seconds)</span></span>
<span id="cb8-23"><a href="#cb8-23" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 250: error is 50.177351 (50 iterations in 0.11 seconds)</span></span>
<span id="cb8-24"><a href="#cb8-24" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 300: error is 0.444068 (50 iterations in 0.12 seconds)</span></span>
<span id="cb8-25"><a href="#cb8-25" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 350: error is 0.347176 (50 iterations in 0.13 seconds)</span></span>
<span id="cb8-26"><a href="#cb8-26" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 400: error is 0.321796 (50 iterations in 0.12 seconds)</span></span>
<span id="cb8-27"><a href="#cb8-27" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 450: error is 0.313020 (50 iterations in 0.11 seconds)</span></span>
<span id="cb8-28"><a href="#cb8-28" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 500: error is 0.307486 (50 iterations in 0.11 seconds)</span></span>
<span id="cb8-29"><a href="#cb8-29" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 550: error is 0.303668 (50 iterations in 0.11 seconds)</span></span>
<span id="cb8-30"><a href="#cb8-30" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 600: error is 0.301545 (50 iterations in 0.11 seconds)</span></span>
<span id="cb8-31"><a href="#cb8-31" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 650: error is 0.298704 (50 iterations in 0.14 seconds)</span></span>
<span id="cb8-32"><a href="#cb8-32" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 700: error is 0.296249 (50 iterations in 0.15 seconds)</span></span>
<span id="cb8-33"><a href="#cb8-33" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 750: error is 0.294926 (50 iterations in 0.14 seconds)</span></span>
<span id="cb8-34"><a href="#cb8-34" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 800: error is 0.294218 (50 iterations in 0.13 seconds)</span></span>
<span id="cb8-35"><a href="#cb8-35" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 850: error is 0.292540 (50 iterations in 0.13 seconds)</span></span>
<span id="cb8-36"><a href="#cb8-36" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 900: error is 0.292069 (50 iterations in 0.14 seconds)</span></span>
<span id="cb8-37"><a href="#cb8-37" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 950: error is 0.291088 (50 iterations in 0.14 seconds)</span></span>
<span id="cb8-38"><a href="#cb8-38" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Iteration 1000: error is 0.290428 (50 iterations in 0.14 seconds)</span></span>
<span id="cb8-39"><a href="#cb8-39" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Fitting performed in 2.49 seconds.</span></span>
<span id="cb8-40"><a href="#cb8-40" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; delta norm ... done</span></span>
<span id="cb8-41"><a href="#cb8-41" aria-hidden="true" tabindex="-1"></a><span class="fu">legend</span>(<span class="st">&quot;topleft&quot;</span>, <span class="at">legend=</span>map_cluster_to_cluster_name,</span>
<span id="cb8-42"><a href="#cb8-42" aria-hidden="true" tabindex="-1"></a>       <span class="at">fill=</span>pal,  <span class="at">cex=</span><span class="fl">0.8</span>)</span></code></pre></div>
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Q5K3NFDbnz5+XgoODlTQiagJ5eXnSgAEDpFmzZknyiE3JbG9vl9zc3CR5ZKfI5A5T2rJli5JG5BeB5ORkqaCg4JcAMZME4uLipNzcXKXMqVOnpHHjxkny6E6RIWKYAPo0w1xsKcUIWOuHT3NzMxUXF4uRrpZYRGtra4k/MMEbph89elScdcs4c5rNWWw+TUpKUmHgX9myYqZp06Yp8qioKDHKUwSIKATq6uqIP4xQUlIizKpskUEwToBHwDExMUoBblvc5sBNQWI0gj7NKBqbZWAOWAv1smXLRKqxsVFL+m+UO0aea2LTKc8R81ey2LS6adMmvbLOKCgsLDT42q9evSLZqqDK8/T0pNbWVpUMCaLPnz8T88rKyqLQ0FDR3jZu3Cjm1UNCQoBIh0Bvby+9e/dO1b64bXHg9qXb7nQud/ok+jT7NwGnVMDd3d0qBTBs2DDF2crYn4SdO7gzjI2NFUUOHTok0uzw4UyfDpTN8mIeV8PJz8+PXFxcNEm9MysV2QStknO6p6dHJXPGxNu3b+n79+/i1ZmJq6sr7dy5k9LT08nX11f4IHB7408sVlRUOCMik+/c1dUlnCK121f//v2pT58+xP/jCKYJoE8zzccWuU5pgq6pqaGAgADlOH78uFnWq1evVpQvF16+fLn4R2eTtDOFHTt2KNyY4fv3702+vo+Pj7AYaBdiJT5q1ChtkVPGeZTLDPlgxz8evW3btk0oXwbSr18/0c7u37/vlHzMvTSvQuBvQLNFShM6OjpInsMTTDUynA0TQJ9mmIstpU6pgMPCwsQcEc8T8WFu0wWe3+RRCM9xagLPF/PoheeFnSmwqVnDjc/e3t4mXz8wMFBYG7Q7yadPn9Lo0aNNXucMmY8fP1ZY8pwvz2euX79e5X3/5s0bYY52Bh7/5R3HjBmj8rpnD3zeWICXuyEYJ4A+zTgbW+Y4pQLmkQWPNjQH/4o2Ffr27Us837R161YxT8cjOF5WExERQSNGjDB16V+Xxw5VGm58ZjamAq/35eUhOTk5xCbD8vJykr0vKSMjw9RlTpHHIzgNS959S/beFWulDx48KEyrjx49Il5SgzXAxptDZmYmFRUVEf+o4/ng/Px8sz+ojd/NeXLQpznG39p07+kYdXSIWrBpkJ06xo8fT/7+/sLT8ndM1w5ReTtXgj3L79y5I0yr/IGT7Oxskpcr2blWjvd4nsvkteaXL18mNt2zdSU+Pp7WrFnjeJV1kBqx9SooKIimTp0qvMf5wzk8j45gngD6NPOM/u8S2I7QQsLfvn0jPthxC8EyAi0tLcJiYG7UbNld/87SbN7nD72wUxGCeQLs7MfOV5ov15m/AiU0BNCnaUjY/gwFbHvmeCIIgAAIgAAIEEzQaAQgAAIgAAIgYAcCUMB2gI5HggAIgAAIgAAUMNoACIAACIAACNiBABSwHaDjkSAAAiAAAiAABYw2AAIgAAIgAAJ2IAAFbAfoeCQIgAAIgAAIQAGjDYAACIAACICAHQhAAdsBOh4JAiAAAiAAAlDAaAMgAAIgAAIgYAcCUMB2gI5HggAIgAAIgAAUMNoACPxBBO7evauqbVVVFfHG6hMnTqQ5c+bQ5s2b6cuXL0qZPXv2UFpaGvX09Cgyjrx8+ZKio6OVjesPHDgg0izTPS5duqS6FgkQAAHrEOhnndvgLiAAAv83gbq6Opo3b57YDISfVVFRQTExMWL7vSVLllBTUxOdPn2abty4IfaudnFxId5z+OLFi2Krw4KCAqWKvHlBWVmZ2PaQhc+ePaO2tjaxH7FS6GeEt0lEAAEQsD4BKGDrM8UdQcDqBCRJIt6Hms+dnZ3E+zLzvso8WuXRqyYsWLCAJkyYQJWVlRQeHi7EgYGBtHv3blq4cCFNnz5dU1TvHBAQYFAB6xX8Kfj69Svx3traOzZ1d3eLOprbY9vYPSEHAWciABO0M/218a5/LAHennDp0qXCZDxlyhRhQh45ciTV1tZSfX298l6sbNvb22n27NmKLDIyUly7atUqPVM0K/T/GnJzcyk5OVl1eVJSEhUVFalkSIAACBgmgBGwYS6QgoBDEfDy8qIrV65QREQENTY2irpt2LCBqqurxUb0bCaOioqi2NhYSkhIIN09l/fv30+TJ0+m/Px8KiwsNPhuDx48oMzMTL28ffv20cCBA/Xk6enpFBoaSh8+fCCuX2trK926dYuOHDmiVxYCEAABfQIYAeszgQQE/ggCrBSvXbtG9+7doxUrVtDz58+FQxbPC/MoWDsMGTKEiouLae/evVRTU6OdpcRdXV1p6NChegdvdM+m5devXysHm8FDQkIoKCiILly4IO5x9uxZmjt3Lvn5+Sn3RAQEQMAEAdkEhQACIPAHEJA9oCU3NzdR0x8/fkgPHz6Uurq6VDVvaGiQ5LlcSR7lCrmsmKWMjAyljGyGliZNmiTJ3tNse5Zkj2mRt27dOikxMVEppxuRHb5Eeb6GD3lELYrweebMmSIeHBwsnTt3TvdSpEEABIwQwAjYxI8TZIGAoxLgUSnPt545c0ZVxbFjx4r5X42ZWpUpJ9gU/enTJ2GK1s0zlQ4LCyOeh9Yca9euFcV5XprnoUtLS8XomOuEAAIg8HsEMAf8e5xQCgTsTmDw4MHCiaq5uZm8vb1p5cqVlJOTQ+7u7jR//nzhjVxSUkJXr14VS48MVZjvwXO08fHxetnyaJpevHihJx80aBD5+PiQp6enXt7w4cPFnHNWVhalpqaKuugVggAEQMAgAShgg1ggBAHHI8DLhNgD2tfXl27evEnbt28nXu6Tl5cnlDHX2N/fX8z1sjOWsRAXF0fsQHXixAlVkfLycrGESSWUEykpKWTqYxx8L9l8LdYg616LNAiAgHECfdg0bTwbOSAAAo5GgD+i4eHhoapWR0cH9fb2Cm9kVYYNEjzqzs7OFh/9sMHj8AgQ+GsIYAT81/wp8SLOQkBX+fJ7s5ezrUNLSwvdvn1bLGviJVEIIAAClhGAE5ZlvFAaBEDgJwGeM+ZlTWzSlj2twQUEQMBCAjBBWwgMxUEABEAABEDAGgQwArYGRdwDBEAABEAABCwkAAVsITAUBwEQAAEQAAFrEIACtgZF3AMEQAAEQAAELCQABWwhMBQHARAAARAAAWsQgAK2BkXcAwRAAARAAAQsJAAFbCEwFAcBEAABEAABaxCAArYGRdwDBEAABEAABCwk8A8ZaDkJVIxD2gAAAABJRU5ErkJggg=="></embed><!-- 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